Analysis
This article introduces KOKKI, a novel prompt engineering technique that combats LLM hallucinations by implementing a dual-core architecture within the AI. The system forces the AI to question its own answers, fostering a more reliable and accurate output. This innovative approach offers a promising way to improve the trustworthiness of [Large Language Models] without external tools.
Key Takeaways
- •KOKKI uses a dual-core architecture with an 'Agent' and an 'Auditor' to enhance answer accuracy.
- •The system relies on prompt engineering using Markdown for structure and definition.
- •The author successfully wrote and published a Kindle book using KOKKI on a smartphone and laptop during a hospital stay.
Reference / Citation
View Original"This system is, in a sense, a hack that plants a 'dual personality (Dual-Core Architecture)' in the AI."